Data Science for All, Global Edition

Data Science for All, Global Edition book cover

Data Science for All, Global Edition

Author(s): Brennan Davis (Author), Hunter Glanz (Author)

  • Publisher finelybook 出版社: Pearson
  • Publication Date 出版日期: 25 Sept. 2025
  • Edition 版本: 1st
  • Language 语言: English
  • Print length 页数: 576 pages
  • ISBN-10: 1292753013
  • ISBN-13: 9781292753010

Book Description

We are all consumers of data, and you may become directly engaged with data work in your future career. Data Science for All, 1st Editiontakes you on a thorough yet reader-friendly journey into the subject to help you navigate a data-rich world. The authors demystify data science, covering its entire lifecycle from preparation and analysis to storytelling.

Designed for students of all majors and backgrounds, it distills the most applicable ideas from the component fields of statistics, computer science, and domain application, helping you apply them immediately to your everyday life. Learning by doing is emphasized through the authors’ unique STAR framework and various tools that encourage a more engaging and practical experience.

Editorial Reviews

Product description

About the Author

About our authors

Brennan Davisis the Richard and Julie Hood Professor and director of graduate analytics programs at the Orfalea College of Business at California Polytechnic State University (Cal Poly, San Luis Obispo). He received a BS in mathematics from the University of California, Los Angeles, an MBA from the Wharton School of Business at the University of Pennsylvania, and a PhD from the University of California, Irvine. Brennan currently teaches undergraduate and graduate analytics courses. In 2019, Brennan received the Emeritus Faculty Award for significant and meritorious achievement in contributing to student welfare.

Hunter Glanzis a Professor of Statistics and Data Science at California Polytechnic State University (Cal Poly, San Luis Obispo). He received a BS in mathematics and a BS in statistics from Cal Poly, followed by an MA and PhD in statistics from Boston University. He maintains a passion for data science, machine learning, and statistical computing and enjoys teaching courses in those areas. Hunter serves on numerous committees and organizations dedicated to delivering cutting-edge statistical and data science content to students and professionals alike, including being a founding board member of the California Alliance for Data Science Education. In 2019, Hunter received the Terrance Harris Excellence in Mentorship Award, and in 2020 he received the Outstanding Faculty Award in the Master’s in Business Analytics program at Cal Poly.

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